king abdulaziz city for science & technology (kacst) saudi arabia air pollution concentration...

Mohammed Idrees A. FarooquiMohammed Idrees A. Farooqui(Remote Sensing & GIS Analyst)(Remote Sensing & GIS Analyst)

Dr. Bader H. HarbiDr. Bader H. Harbi(Director NCET)(Director NCET)

King Abdulaziz City for Science & Technology King Abdulaziz City for Science & Technology (KACST)(KACST)

Saudi ArabiaSaudi Arabia

Air pollution concentration modeling by gis in riyadh

Introduction KACST:

King Abdulaziz City for Science and Technology (KACST) is an independent Saudi Arabian national science & technology agency. KACST has currently over 2500 National and International scientists and experts. KACST's main activities can be summarized as follows:Propose national policies for the development of science and technology and develop strategies and plans necessary to implement them.

Topic: AIR POLLUTION CONCENTRATION MODELING BY GIS IN RIYADH, Saudi Arabia. Presenter: Mohammed Idrees A. FarooquiSession: NRDMS, 8th February, 2012. 1430 - 1800 Hrs. India Geospatial Forum 7 - 9 February, 2012. Gurgaon, India.

Introduction KACST: Coordinate with government agencies, scientific

institutions and research centers in the Kingdom to enhance research and exchange information and expertise.

Conduct applied research and provide advice to the government on science and technology matters.

Support scientific research and technology development.


Introduction KACST:

Foster national innovation and technology transfer between research institutes and the industry.

Foster international cooperation in science and technology.


PROJECT OVER VIEW:National Air Pollution Diagnostic and Alarming SystemNational Air Pollution Diagnostic and Alarming System

Air Quality Index GIS for Riyadh CityAir Quality Index GIS for Riyadh CityNational Center for Environment Technology (NCET), one of the research institutes in KACST, is carrying out a project Titled "National Air Pollution Diagnostic and Alarming System" The aim of the project is to establish an Air quality monitoring network in Riyadh City to measure Air Quality. The Riyadh city is divided into 12 X 12 KM Grid. The Monitoring Stations are more or less stationed in the center of each grid.


BACKGROUND OF THE PRESENTATION TOPIC “AIR POLLUTION CONCENTRATION MODELING BY GIS IN

RIYADH”A GIS system ”The Air Quality Index GIS for Riyadh City” is developed to analyze and model the different concentration levels. However due to some constraints only 16 monitoring stations were hosted. But since, the concentration level of pollutants at other parts of the city were also of interest to the planners and environmentalist, GIS Extrapolation and Geostatistical Analysis tools is used to predict the possible optimal concentrations of various pollutants by examining the relationships between all the sample points for producing a continuous surface of concentration. The wind velocity data is used as streamlines and indicator of direction.


Air Quality Index GIS for Riyadh City Air Quality Index GIS for Riyadh City Scope:

The Air Quality Index GIS for Riyadh City contains all The Air Quality Index GIS for Riyadh City contains all available infrastructure information like Road and Street available infrastructure information like Road and Street Network, layers of various pollution sources. Network, layers of various pollution sources.

The Incorporated layers and information are categorized The Incorporated layers and information are categorized as below:as below:

1.1.The Pollution SourcesThe Pollution Sources

2.2.The MeasurementsThe Measurements

3.3.The entities that might be effectedThe entities that might be effected


Following Are The Pollution Following Are The Pollution Sources That are Included In GIS:Sources That are Included In GIS:

TrafficTraffic IndustriesIndustries Waste Water Treatment PlantsWaste Water Treatment Plants LivestockLivestock LandfillsLandfills Oil and Gas Sources Like Petrol PumpsOil and Gas Sources Like Petrol Pumps Other Pollution Sources Like Asbestos Other Pollution Sources Like Asbestos

Buildings, Treated Waste Water Discharge Buildings, Treated Waste Water Discharge Lakes Etc.,Lakes Etc.,


Following Are The risked entities Following Are The risked entities That are Included In GIS for That are Included In GIS for analysis.analysis.

HospitalsHospitals SchoolsSchools Old Aged homesOld Aged homes MasjidsMasjids Housing ParcelsHousing Parcels


Following is the Measured Data That is Included and Analyzed In GIS

1. Date2. Time3. Grid ID4. Station ID5. Meteorological Parameters

1. Wind speed2. Wind Direction3. Ambient temperature4. Relative humidity 5. Solar Radiation6. Rainfall (mm)7. Atmospheric Pressure

6. Inorganic pollutants1. Nitrogen Dioxide ( NO2 )

2. Sulfur dioxide (SO2 )

3. Carbon monoxide (CO)

4. Ozone (O3)

5. Hydrogen sulfide (H2 S)

6. Hydrogen Chloride (HCl)7. Hydrogen Cyanide (HCN)

8. Ammonia (NH3)

9. Particulate matter1. PM102. PM 2.5

7. Heavy metals7. Lead (Pb)8. Cadmium (Cd)9. Cupper (Cu)10. Zinc (Zn)11. Chromium (Cr)12. Cobalt Co)13. Nickel (Ni)14. Strontium (Sr)15. Vanadium (V)16. Mercury (Hg)

8. Organic pollutants7. Benzene8. Toluene9. Ethyl Benzene10. Xylene


GIS Layers in Grid-2 and Number of Entities

Legend – Index # 2

Housing Parcels

Schools - 297

Petrol Stations - 49

Masjids - 264

Livestock Sources - 0

Land Fills - 2

Industries - 126

Hospitals - 55

Street Network

Waste Water Treatment Plants - 0

Asbestos Buildings - 11


GIS Layers in Grid-4 and Number of Entities

Legend – Index # 4

Housing Parcels

Schools - 12

Petrol Stations - 1

Masjids - 11

Livestock Sources - 0

Land Fills - 0

Industries - 660

Hospitals - 2

Street Network

Waste Water Treatment Plants - 0

Asbestos Buildings - 0


Exhibit of the Measurement data held in GIS with the Monitoring Stations Attributes:


DATA BASE QUERY

GIS Analysis Scopes: Back trajectories from the monitoring sites, e.g., to look at where the

air was coming from when the measurements were high vs. where the air was coming from when the measurements were low.

Differences between the sites (e.g., the statistical distribution of data at each site with mean, median, 25-th percentile, 75-th percentile, 10th and 90th percentiles, and outliers, etc.).

Time series of data at each site, compared with that from other sites

Examine correlations between different sites, for a given pollutant, and correlations between different pollutants at the same site

Some very interesting time-domain animations could also be made.


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SO2 (ppb)

Creating “Pollution Rose” where any given variable is plotted as a function of wind direction. Below is example of Pollution Rose of SO2 concentrations at a monitoring site as a function of wind direction measured at the site.

GIS Analysis Scopes:


Animated Contours for CO Concentration:The contours of CO changing over time while simultaneously displaying the wind speed and direction has been created. The wind velocity data is added as streamlines and indicators of direction and speed.

This animation has frames every one minute, interpolating between the one hour measured samples. The distributions change very wildly due to the wide sample frequency. 3D buildings and/or terrain could also be add to make the map more interesting.


“AIR POLLUTION CONCENTRATION MODELING BY GIS IN RIYADH”

Prediction of the possible optimal concentrations of CO in Riyadh City.


MOBILE AIR QUALITY MONITORING STATIONS


THANK YOU


king abdulaziz city for science & technology (kacst) saudi arabia air pollution concentration...

Documents

india geospatial forum

technology development

technology transfer

technology matters

riyadh citynational

introduction kacst

mohammed idrees

air quality monitoring